Synthical | AI-powered research environment

🚀 Explore cutting-edge research across multiple disciplines with Synthical! This AI-powered research environment covers topics from machine learning to environmental science, offering insights from top institutions and authors worldwide. Harness the power of genetic algorithms, machine learning, and more to advance interdisciplinary research in science and technology. #AI #research #technology #innovation 🌍🔬📚

Disciplines include Computer Science, Statistics, Mathematics, Biology, Medicine, Chemistry, Physics, Economics, Astrophysics, Electrical Engineering, Quantum Physics, Quantitative Biology, Quantitative Finance, and Condensed Matter.
Topics cover Theoretical and Computational Chemistry, Materials Science, Organic Chemistry, Bioorganic Chemistry, Catalysis, Machine Learning, Environmental Science, Earth Science, Spectroscopy, Polymer Science, Energy, Inorganic Chemistry, Organometallic Chemistry, Physical Chemistry, Computational Chemistry, Chemical Engineering, Industrial Chemistry, Photochemistry, Biological and Medicinal Chemistry, and Heterogeneous Catalysis.
Cutting-edge research involves solid electrolyte interphase, nanocomposites, DNA nanostars, hydrogel scaffolds, bifurcated vascular channels, ferrimagnetism, luminescent DNA probes, OLEDs, antimicrobial peptides, and atmospheric chemistry clusters.
Institutions highlighted are North Carolina State University, University of Oslo, Technical University of Denmark, Tomsk Polytechnic University, Novosibirsk State University, University of Science and Technology of China, Technical University of Denmark, Indian Institute of Technology Kharagpur, University of Calgary, University of Sydney, University of Oxford, University of St Andrews, University of Bern, Stony Brook University, and University of Copenhagen.
Authors include Bing Zheng, Jun Ohata, Arne Nisters, Volodymyr Puskov, Hannes Kneiding, David Balcells, Bright Elijah, Jiazhen He, Artur Mardyukov, Niklas Deissler, Natalia Soldatova, Amit Nain, Anna Yi, Jianjun Wang, Ke Ye, Dhilshada. N., Suraj Manikandan, Jens Andreasen, Soumyajit Karmakar, Sabyashachi Mishra, Coleman Vollrath, Masaya Sakakibara, Karuna Skipper, Shelley Wickham, Johnathan Bulled, Elise Lognon, Ettore Crovini, Angelo Musicò, Markus Orsi, Jean-Louis Reymond, Yang Wu, Annapoorani Hariharan, Jiří Mareš, and Pau Mayorga Delgado.
Techniques involve genetic algorithms, reinforcement learning, machine learning, DFT, SABRE-SHEATH, NMR, and FTIR, among others.
Concepts encompass hyperpolarization, bioactive materials, catalytic hydrogenation, inverse molecular design, water disinfection, methane emissions, phase shifters, and reductive deiodination.
Emphasis on bridging disciplines and advancing interdisciplinary research in science and technology.