Mads Koerstz (@mkoerstz) 's Twitter Profile
Mads Koerstz

@mkoerstz

ID: 937038826924625920

calendar_today02-12-2017 19:20:40

20 Tweet

46 Takipçi

109 Takip Edilen

🚀 Anders Christensen (@andersschristen) 's Twitter Profile Photo

Very cool paper by Lars Bratholm and David Glowacki and many many more authors! "A community-powered search of machine learning strategy space to find NMR property prediction models" arxiv.org/abs/2008.05994 #CompChem #MachineLearning

Jan Jensen (janhjensen.bsky.social) (@janhjensen) 's Twitter Profile Photo

Accepted in @PeerJChemistry: High Throughput Virtual Screening of 230 Billion Molecular Solar Heat Battery Candidates doi.org/10.26434/chemr… w/ Mads Koerstz 🚀 Anders Christensen Mogens Brøndsted Great job Pedro J. Silva (editor), Kjell Jorner & Adrian Jinich (reviewers) 👏 #compchem

Accepted in @PeerJChemistry: High Throughput Virtual Screening of 230 Billion Molecular Solar Heat Battery Candidates doi.org/10.26434/chemr…

w/ <a href="/MKoerstz/">Mads Koerstz</a> <a href="/AndersSChristen/">🚀 Anders Christensen</a> <a href="/mogens_br/">Mogens Brøndsted</a> 

Great job <a href="/Pedro_Biochem/">Pedro J. Silva</a> (editor), <a href="/kjelljorner/">Kjell Jorner</a> &amp; <a href="/champiDicty/">Adrian Jinich</a> (reviewers) 👏 #compchem
Jan Jensen (janhjensen.bsky.social) (@janhjensen) 's Twitter Profile Photo

New preprint: Fast and Automated Identification of Reactions with Low Barriers: The Decomposition of 3-Hydroperoxypropanal with Maria Harris Rasmussen and Mads Koerstz #compchem doi.org/10.26434/chemr…

New preprint: Fast and Automated Identification of Reactions with Low Barriers: The Decomposition of 3-Hydroperoxypropanal with <a href="/MariaHarrisRas1/">Maria Harris Rasmussen</a> and <a href="/MKoerstz/">Mads Koerstz</a> #compchem doi.org/10.26434/chemr…
Jan Jensen (janhjensen.bsky.social) (@janhjensen) 's Twitter Profile Photo

New preprint from my group: Virtual screening of norbornadiene-based molecular solar thermal energy storage systems using a genetic algorithm #compchem with Nicolai Ree and Mads Koerstz doi.org/10.33774/chemr…

New preprint from my group: Virtual screening of norbornadiene-based molecular solar thermal energy storage systems using a genetic algorithm #compchem
with <a href="/ReeNicolai/">Nicolai Ree</a> and <a href="/MKoerstz/">Mads Koerstz</a> 

doi.org/10.33774/chemr…
Jan Jensen (janhjensen.bsky.social) (@janhjensen) 's Twitter Profile Photo

New preprint from my group: Fast and automated identification of reactions with low barriers using meta-MD simulations doi.org/10.26434/chemr… with Maria Harris Rasmussen #compchem

New preprint from my group: Fast and automated identification of reactions with low barriers using meta-MD simulations doi.org/10.26434/chemr… with <a href="/MariaHarrisRas1/">Maria Harris Rasmussen</a> #compchem
Jan Jensen (janhjensen.bsky.social) (@janhjensen) 's Twitter Profile Photo

New preprint: Do machines dream of atoms? A quantitative molecular benchmark for explainable AI heatmaps with Maria Harris Rasmussen doi.org/10.26434/chemr… #compchem Try it out here: colab.research.google.com/drive/1dVsmJlG…

New preprint: Do machines dream of atoms? A quantitative molecular benchmark for explainable AI heatmaps  
 
with <a href="/MariaHarrisRas1/">Maria Harris Rasmussen</a> 
doi.org/10.26434/chemr… #compchem 

Try it out here: colab.research.google.com/drive/1dVsmJlG…
Tom Goldstein (@tomgoldsteincs) 's Twitter Profile Photo

Just how much have language models grown in the last 4 years? Let's have a look. In 2018, the puny BERT “large” model premiered with a measly 354M parameters. It can be trained on a single 8xA100 node in 5 days. That costs $2K on AWS - almost free by LLM standards! 🧵