Royal Society of Chemistry

The community's impact is incredible. Developing medicines, vaccines and diagnostics when the world needs them most. Keeping our food and water safe, clean and in good supply. Creating revolutionary technologies to generate and store clean energy. Inspiring generations of young minds, helping them forge their paths to fulfilling careers and lives. And so much more.

Our new strategy sets out how we will help the chemical science community: to teach and learn; to discover and share; to practise and accomplish; to speak up and be heard.

Together, we will make the world more open, more sustainable, and more equal.

Collective action to make things better, together

The Royal Society of Chemistry has brought together 47 publishing organisations to set a new standard to ensure a more inclusive and diverse culture within scholarly publishing.

As a group with journal portfolios in excess of 15,000, we acknowledge that biases exist in scholarly publishing and we commit to scrutinising our own processes to minimise these. We will pool our resources, expertise and insight to accelerate research culture change.

Join us for this seminar chaired by Dalton Transactions Associate Editor Professor Christine Thomas and featuring speakers who published in the Dalton Transactions 2020 New Talent: Americas themed issue. Dalton Transactions is providing an opportunity for emerging investigators to present, discuss and showcase their inorganic chemistry research. The talks cover a wide spectrum of topics within inorganic chemistry, including organometallic chemistry, main group chemistry and inorganic materials. This 90-minute seminar will allow researchers of all professional levels to connect, share ideas, and ask questions. Be sure to register for the free seminar today!

Speakers:​

• Professor Cynthia L. M. Pereira (Federal University of Minas Gerais, Brazil) - “Mononuclear lanthanide(III) complexes containing oxamate ligands: synthesis, photophysical and magnetic properties”
• Professor David Herbert (University of Manitoba, Canada) - “Exploiting Ligand C=N Units in Molecular Materials Chemistry”
• Professor Rebekka Klausen (Johns Hopkins University, USA) - "Fragments of crystalline silicon via target-oriented synthesis"

What would you like to know about Analytical Methods?

Scope

Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating potential for societal impact.

We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples.

We encourage developments within, but not limited to, the following technologies and applications:

• global health, point-of-care and molecular diagnostics
• biosensors and bioengineering
• drug development and pharmaceutical analysis
• applied microfluidics and nanotechnology
• omics studies, such as proteomics, metabolomics or glycomics
• environmental, agricultural and food science
• neuroscience
• biochemical and clinical analysis
• forensic analysis
• industrial process and method development

Impact factor: 2.896*

Time to first decision (all decisions): 12.0 days

Time to first decision (with reviews): 25.0 days

Editor-in-Chief: Scott Martin

Indexed in MEDLINE

What would you like to know about PCCP?

Scope

Physical Chemistry Chemical Physics (PCCP) is an international journal for the publication of cutting-edge original work in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and the Editors will judge against when evaluating submissions.

The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches. 

PCCP is proud to be a society journal and is co-owned by 19 national chemical societies. The journal is published by the Royal Society of Chemistry on a not-for-profit basis for the benefit of the whole scientific community.

Impact factor: 3.676*

Eigenfactor Score: 0.13482*

CiteScore: 6.1**

Time to first decision (all decisions): 25.0 days

Time to first decision (with reviews): 34.0 days

Indexed in MEDLINE and Web of Science

Chair: David Rueda Deputy Chair: Anouk Rijs

Article submissions (2020): 6367

Article publications (2020): 2734

As the UK’s professional body for chemical scientists with a worldwide community, we provide you with relevant networking opportunities, support you as an individual throughout your career through our services and membership benefits, and support your organisation through our tailored initiatives.

On these pages you can find more information as well as ways to get involved, how to become a member and help in managing your membership online.

BY Nathan Brown The Institute of Cancer Research, UK Synopsis Due to significant advances in deep learning and related areas, artificial intelligence methods are increasingly utilised in drug discovery to tackle challenges that have hitherto been difficult to solve, such as predicting properties, designing molecules, and optimising synthetic routes. Artificial Intelligence in Drug Discovery comprehensively covers artificial intelligence and machine learning tools and techniques; covering specific challenges such as learning from chemical data, designing new molecular structures, predictive modelling in both ligand and structure-space, synthesis planning, and molecular simulations. The book tackles real-world challenges in drug discovery ensuring context of application is preserved and disseminated by world leaders in the field. Brief Contents Introduction The History of Artificial Intelligence and Chemistry Chemical Topic Modelling – An Unsupervised Approach Originating from Text-mining to Organize Chemical Data Deep Learning and Chemical Data Concepts and Applications of Conformal Prediction in Computational Drug Discovery Non-applicability Domain. The Benefits of Defining “I Don’t Know” in Artificial Intelligence Predicting Protein–Ligand Binding-affinities Virtual Screening with Convolutional Neural Networks Machine Learning in the Area of Molecular Dynamics Simulations Compound Design Using Generative Neural Networks Junction Tree Variational Autoencoder for Molecular Graph Generation AI via Matched Molecular Pair Analysis Molecular de novo Design Through Deep Generative Models Active Learning for Drug Discovery and Automated Data Curation Data-driven Prediction of Organic Reaction Outcomes ChemOS: an Orchestration Software to Democratize Autonomous Discovery Summary and Outlook

Here is our guidance on using Royal Society of Chemistry websites, information on accessibility, cookies. You can also read more about our legal identity.

Belonging (like inclusion) and not-belonging (like exclusion) are particularly important in the lives and careers of those groups already under-represented in the chemistry community.