Journal Guide

ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a venue for high quality research contributions addressing foundational, engineering, and technological aspects of computing systems exhibiting emergent and adaptive behaviour. TAAS encourages contributions aimed at supporting the understanding, development, and control of such systems based on sound theoretical models, including but not limited to bio-inspired models. ACM TAAS spans complexity, self-adaptation, autonomic computing, and multi-agent systems. It addresses research being undertaken by an interdisciplinary research computing community -- and provide a common platform under which this work can be published and disseminated. Such a common view would consider macro-behavior of decentralized applications emerging from micro-behavior of its autonomous, possibly mobile components.

ACM Transactions on Speech and Language Processing (TSLP) focuses on practical areas of the design, development, and evaluation of speech- and text-processing systems along with their associated theory. Topics within TSLP's scope include: natural language understanding, generation, and parsing; dialog management; machine translation; document summarization; question answering; detection and tracking of entities, relationships, topics, and novelty; language modeling for machine translation and speech; speech prosody; audio indexing; spoken document retrieval; and machine learning and pattern analysis applied to the above

CrystEngComm is the forum for the design and understanding of crystalline materials. It publishes studies on the investigation of molecular behaviour within crystals, control of nucleation and crystal growth, engineering of crystal structures, and construction of crystalline materials with tuneable properties and functions. All papers should involve the use or development of a design or optimisation strategy.

The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.

All data is in scope, whether born digital or converted from other sources.

Digital Discovery welcomes both experimental and computational work on all topics related to the acceleration of discovery such as screening, robotics, databases and advanced data analytics, broadly defined, but anchored in chemistry. The journal welcomes Artificial intelligence and data science methodologies for chemical, materials science, biochemical, biomedical or biophysical sciences including Computer-assisted retrosynthesis, Generative models for scientific design, Machine learning classification and regression models, Modern molecular, materials, and biological representations, Methods for Bayesian optimization and design of experiments, Advances and applications of interpretable models, Image recognition, Natural language processing, Literature mining tools, Advanced data workflows, Advances in robotics for science, Experimental control software, Databases, New robotic setups, New automated sensors, Novel synthetic methodologies and workflows, High-throughput computational science, Directed or accelerated evolution, DNA Encoded Library Technology, Cryptochemistry, and Blockchain-enabled science.

EES Batteries is a premier journal, publishing exceptional battery and energy storage focused research. Delivering the same influence and reputation for quality which researchers associate with companion journal Energy & Environmental Science, EES Batteries is strongly interdisciplinary, welcoming influential, high impact and quality research across all scientific disciplines including chemistry, physics, materials science, engineering, computational/theoretical studies, and policy.

Exceptional research of significant and notable interest to the batteries research communities is welcomed. This includes but is not limited to:

• New battery concepts, materials, and systems
• Battery electrochemistry
• Electrode materials and composites
• Battery interfaces and interphases
• Advanced characterization tools and techniques
• Modelling, simulation and theoretical studies
• AI empowered battery science, technologies, and applications
• System integrations and applications with batteries
• Battery manufacturing, recycling, and scalability
• Safety, stability, and performance optimization
• Policy work and technoeconomic analyses

Research related to batteries in conjunction with fuel cells, supercapacitors, or capacitors is also within the scope of the journal.

EES Solar is a premier interdisciplinary journal dedicated to publishing high-impact research focused on solar energy and photovoltaics. Building on the reputation of companion journal Energy & Environmental Science for high quality and influence, EES Solar aims to be a leading publication for groundbreaking studies that span a wide range of scientific disciplines, all connected by the thread of solar. The journal welcomes studies and analyses at all scales, from groundbreaking fundamental advances to interdisciplinary research across chemistry, physics, materials science, engineering, theory, and policy and technoeconomic analyses, for advancing the field of solar energy. Research that utilizes green materials and sustainable practices, championing developments that minimize environmental impact while achieving high performance is particularly encouraged.

EES Solar is the home for exceptional research that pushes the boundaries of solar research and its applications. This includes, but is not limited to:
• Solar cell and photovoltaic research
• Solar fuels and artificial photosynthesis
• Photocatalysts for energy and environmental applications
• Photothermal and photoelectrochemical solar energy conversion
• Photonics
• Light-matter interaction and spectroscopy
• Photovoltaic system design, solar power systems, and integration
• Modelling, simulation, and theoretical studies including AI and machine learning
• Policy work and technoeconomic analyses

Faraday Discussions covers a variety of topics in rapidly developing areas of the physical sciences, with a focus on physical chemistry and its interfaces with other scientific disciplines. The journal publishes the papers presented and a record of the questions, discussion and debate that took place at the corresponding Faraday Discussions meeting; and provides an important record of current international knowledge and opinions in the relevant field. Each Faraday Discussion covers a topic in a rapidly developing area of chemistry, and will be of interest to academic and industrial chemists across all areas of the chemical sciences. Topical coverage includes: • Spectroscopy • Dynamics • Kinetics • Statistical mechanics • Thermodynamics • Electrochemistry • Catalysis • Surface science • Quantum mechanics • Quantum computing • Machine learning • Polymers and soft matter • Materials • Quantum Materials • Nanoscience • Energy • Surfaces/interfaces • Biophysical chemistry • Atmospheric Chemistry • Astrochemistry

The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Information Retrieval - FnTIR publishes high-quality survey and tutorial monographs of the field using modern techniques to enable both instant linking to the primary research in its electronic form and affordable paper copies, finally delivering on the promise to authors of multiple channel publishing from a single source. Each issue of Foundations and Trends® in Information Retrieval - FnT IR comprises a 50-100 page monograph written by research leaders in the field. Monographs that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal. Foundations and Trends® in Information Retrieval will publish survey and tutorial articles on the following topics: Applications of IR Architectures for IR Collaborative filtering and recommender systems Cross-lingual and multilingual IR Distributed IR and federated search Evaluation issues and test collections for IR Formal models and language models for IR IR on mobile platforms Indexing and retrieval of structured documents Information categorization and clustering Information extraction Information filtering and routing Metasearch, rank aggregation and data fusion Natural language processing for IR Performance issues for IR systems, including algorithms, data structures, optimization techniques, and scalability Question answering Summarization of single documents, multiple documents, and corpora Text mining Topic detection and tracking Usability, interactivity, and visualization issues in IR User modelling and user studies for IR Web search

Green Chemistry provides a unique forum for the publication of innovative research on the development of alternative green and sustainable technologies. Based on the, but not limited to, the twelve principles of green chemistry defined by Anastas and Warner (Green Chemistry: Theory and Practice, P T Anastas and J C Warner, Oxford University Press, Oxford, 1998). Green chemistry is, by definition, a continuously-evolving frontier. Therefore, the inclusion of a particular material or technology does not, of itself, guarantee that a paper is suitable for the journal. To be suitable, the novel advance should have the potential for reduced environmental impact relative to the state of the art. Green Chemistry does not normally deal with research associated with 'end-of-pipe' or remediation issues.

The ICGA Journal appears four times a year. In order to receive the Journals for 2004 you should subscribe as an ICGA member. The (renewal) fee for individual subscribers is US $ 50,--, UK £ 25,-- or € 40,--. For many years, the ICCA Journal occasionally included articles on games other than chess. This has included Backgammon, Othello, Chinese Chess, Shogi, Go, and fundamental issues affecting the programming of all such games. To reflect this increasing interest in other games, the Journal changed its name to the ICGA Journal from Vol.23 No.1 (the first issue of 2000).

IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. TETC is a special issues-based journal. Our authors have the option to submit papers to a current special issue or to the continuous call for papers, called "technical tracks." The most recent and current list of emerging topics in computing currently covered by the continuous call for papers is reported on the Technical Tracks Call for Papers page. All submissions not in the scope of the special issue or the technical tracks will not be considered by the journal. More detailed information is found under the tab "About" in TETC's main page at https://www.computer.org/csdl/journal/ec

The IEEE/ACM Transactions on Audio, Speech, and Language Processing covers audio, speech and language processing and the sciences that support them. In audio processing: transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. In speech processing: areas such as speech analysis, synthesis, coding, speech and speaker recognition, speech production and perception, and speech enhancement. In language processing: speech and text analysis, understanding, generation, dialog management, translation, summarization, question answering and document indexing and retrieval, as well as general language modeling.

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