Kipu Quantum’s Post

Check out our new publication, accessible through open access with Angewandte Chemie (https://lnkd.in/efigjXC8), on structural defect in million-atom models of amorphous silicon (a-Si), constructed via an "indirect" (machine) learning approach. We combined structural descriptors and machine-learned atomic energies to develop a classification of the different types of defects in a-Si.

After taking some time out to investigate #Herro this past weekend, I wanted to echo the thoughts of Mile Sikic ... and to say #Herro to the hole new world there is to ex-pore. Now, prior to this, several independent reports (e.g., QQ plots from reference labs on a variety of vertebrate species) have suggested that near-reference quality diploid assembly will soon be possible using the new (pre-release) chemistry from Q26-Q28 #simplex (i.e., 1D1) reads (!). But, as I've not had opportunity to play with such data, yet, I haven't been able to investigate. But now, with #Herro, even in advance of the forthcoming changes to chemistry, production, and manufacturing anticipated at #LC24, it's possible to see for oneself dramatic improvement to phase contiguity and variant call accuracy in medically relevant regions using (get this) publicly available data... Please look out for my upcoming blog post (Im targeting Tuesday May 7th) - I'll be using Herro & the incredible 1kG long read dataset recently provided by Danny Miller MD, PhD, FACMG using this tool. In the mean time, Ahmed Ghatasheh - want to work on an *a priori* grounding for higher-order implications of these present quality reports?

OpenGeoSys (OGS) is a scientific open-source project to develop numerical methods for simulating thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured media. Explore more tools from ClimoKit: https://lnkd.in/g9_mketB #climatechange #climateadaptation

Dr. Jaiyéolá Tèmitópé Gbóláhàn of Obafemi Awolowo University joined us recently to discuss quasigroups and loops, and how they can be applied to other areas of science, in a recent Science Seminar Series talk. https://lnkd.in/gETMPkwP

Multiscale simulation for everyone in thermal reaction processes and catalysis! I recently came across a great suite of open-source software from Dr. Dion Vlachos’ group at the University of Delaware, including OpenMKM, CKineticsDB, and learnCK. These tools are designed to streamline reaction simulations, optimize and reduce reaction networks, and enhance visualization—making them highly useful for anyone involved in thermal reaction processes and catalysis. Whether you’re a student or an expert, these tools offer great value for those interested in reaction catalysis and kinetic modeling! Explore them here: https://lnkd.in/gxtDPPEr #OpenSource #Catalysis #ReactingFlow #Simulation #Toolkit

Nice video description of Parse's technology.

Evercode split-pool combinatorial barcoding enables you to scale up your single cell projects to millions of cells or nuclei. Learn more about how the technology uniquely labels cells without ever needing to isolate individual cells. https://lnkd.in/gpbBDx7K

How can machine learning-based simulations perform with #Matlantis help to rationalise experimental results? Our free Chemistry World webinar with Matlantis (Preferred Computational Chemistry, Inc. ) explores game-changing atomic scale simulations, focusing on CO₂ storage. Sign up here: https://bit.ly/3uiRRyI

Ever wondered what single cell sequencing is? What Parse Biosciences sells? Watch this super quick new video explaining the key concepts

Every new discovery brings us closer to understanding the intricate rules that govern nature. Imosyn is dedicated to synthesizing this knowledge into a unified, usable system. #Science #Knowledge #Simulation