Micro1 team tests LLMs on high-risk science prompts

Complex systems, simple solution: deep learning speeds thermodynamic calculations Researchers at The Hong Kong University of Science and Technology have developed a more efficient approach to calculating the thermodynamic properties of complex physical systems, potentially accelerating research in fields ranging from materials science to drug design. The team, led by Dr Ding Pan from the Departments of Physics and Chemistry, created what they call the variational temperature-differentiable (VaTD) method. This technique uses deep learning to sample the Boltzmann distribution across a continuous range of temperatures, rather than at single temperature points as previous methods required. For more on this story, click here: https://lnkd.in/gJx5FnWc #ComputationalPhysics #DeepLearning #StatisticalMechanics

How do quantum and classical computational resources compare? 🧩 PhD student Jordi Weggemans (CWI, QuSoft) explored this question in his thesis ‘Quantum versus Classical Resources in Computational Complexity’, which he defended at the University of Amsterdam on 13 November. A highlight of his work concerns low-energy states of quantum systems, which determine how molecules and materials behave, essential for, e.g., predicting the stability of new materials, or how a potential drug molecule binds to a target protein. Weggemans showed that combining classical trial states with quantum computation can solve these problems far more efficiently than classical methods alone. Jordi Weggemans conducted his PhD research at CWI’s Algorithms & Complexity group, was also affiliated with QuSoft, and did his research with support from Quantum Delta NL. Congrats, Jordi! 🎉 See: https://edu.nl/gyp7e (group picture: Johan Weggemans)

⚛️ Mathematicians Dr. Arvin Lamando of the University of the Philippines – Diliman College of Science’s Institute of Mathematics (UPD-CS IM) and Dr. Henry McNulty of the Norwegian University of Science and Technology have found a new way to understand mathematical “machines” called operators, which are key to quantum mechanics and signal processing. 🔗 Read here: https://lnkd.in/gYgZtNGY

Professor Vivek Goyal’s research areas can sound a bit like magic, when put into plain terms: he’s known for studying how to see (and “take pictures”) around corners, or using “invisible” light. This apparent wizardry, of course, is a matter of science–and mathematics. Goyal’s work, while varied, has the common theme of using physics, algorithms, and related methods to expand perception past what the human sensory suite is biologically capable of. Two new projects, working on long-distance 3D imaging and atmospheric sensing respectively, and recently funded by the NSF, are no exception: https://lnkd.in/eQ8nDZCV

Excited to share my #4th publication in the #SIAMJournals and 2nd in SIAM Journal on Applied Mathematics! 🚀 We have developed a new mathematical model to describe how sound waves travel through liquids containing bubbles. The twist? We did it all in the "time-domain," which is a more natural and general way to model real-world sound pulses. Two exciting outcomes: ✨The model naturally captures the "ringing" effect (resonance) of the bubbles. ✨It works for virtually any arrangement of bubbles, not just perfectly periodic ones. This gives scientists and engineers much more freedom to design advanced materials. This research bridges fundamental mathematics with practical applications in material science and imaging technologies. Check out the details in the paper: https://lnkd.in/gN8Kdujp

When it comes to scientific research, it's essential to step outside the comfort zone we often build during our PhD Thesis. In this spirit, I'm delighted to share our recent publication in the field of stabilization theory of hyperbolic systems, a topic that pushed me to explore beyond my usual work on mathematical modeling of biological and biomedical systems: https://lnkd.in/eKnaCbbP 🔍 Key findings: We established new theoretical conditions that guarantee the indirect stabilization of coupled hyperbolic systems in the presence of delayed internal feedback, and developed a numerical scheme capable of preserving the expected energy decay behavior despite these delays. Through extensive numerical simulations, we confirmed the theoretical predictions and revealed how delay effects can influence both the rate and robustness of stabilization. These results are particularly important because time delays naturally occur in real-world systems, from communication networks and structural vibration control to fluid and wave propagation. Our findings provide practical insights and computational tools to design stable control mechanisms that remain effective even when feedback signals are not instantaneous. This project was a truly enriching experience, stepping into a new mathematical area, learning from insightful discussions with my co-authors: Dr. Alhabib Moumni, Pr. Jawad Salhi and Pr. Mouhcine TILIOUA. I'm also excited to mention that there are upcoming joint works in this direction, continuing to build on these ideas and extend them to more complex systems.

On exchange with eSSENCE: Valera Veryazov We share some insights from Valera Veryazov, Professor of Theoretical Chemistry at Lunds universitet, who recently visited Umeå universitet as part of the eSSENCE exchange program — meeting and collaborating closely with Professor Paolo Bientinesi's group to connect quantum chemistry with high-performance computing expertise. ▪️ How has the exchange contributed to your network? — “The visit to Umeå University and Prof. Paolo Bientinesi’s group allowed me to expand my network within the HPC and numerical methods community. I gave three seminars that sparked valuable discussions and several new contacts.” ▪️ How has the collaboration contributed to your research? — “The exchange enabled access to HPC2N resources — essential for developing the parallel versions of the codes I co-develop. The technical feedback I received will guide further improvements.” ▪️ What are your long-term hopes for the collaboration? — “I hope this will grow into a lasting exchange of knowledge between our groups, particularly in HPC and quantum chemistry. The main challenge ahead is limited manpower, but the potential for progress is strong.” 🤝 The eSSENCE exchange program supports short research visits that strengthen Sweden’s national e-Science community. Stay tuned for more stories from researchers on the move!

"If one doesn’t engage in hypothesis, empirical testing, peer review, and substantiation, then don’t call it science; call it pseudoscience." — Sabine Hossenfelder I fully agree with this statement. Hossenfelder doesn’t reject foundational research in physics — she emphasizes that even work on the deepest questions must remain anchored in testability, evidence, and real results. Exploring the foundations of physics isn’t just about elegant equations or abstract models. It’s about having a clear implementation plan, definable experiments, and outcomes that connect theory to the real world. That’s why we’re following this path through our ongoing efforts in: 1️⃣ Symbolic simulation of quantum mechanics — building computational bridges between theory and measurable quantum behavior. 2️⃣ Exploring new hardware technologies — particularly through our project on Casimir-force-based QPUs, aiming to unlock novel architectures for quantum processing. We are still a new startup with limited resources, and unfortunately, much of our research remains at the theoretical stage. Yet, our commitment to turning foundational physics into real innovation remains strong. This is how theoretical work transcends the lab — becoming not only rigorous science but also an engine of innovation that drives tangible technological and business impact.

New Scientific Publication Released I’m pleased to announce my latest research work: “The Consciousness Theory of Everything (CTE): A Formal and Computational Framework for Quantum–Cognitive Coherence.” DOI: https://lnkd.in/dAE3Qyuf This publication introduces a rigorous and executable theoretical framework that unifies quantum physics, higher mathematics, and computational phenomenology under a single model of coherent consciousness. The CTE formalism integrates: Quantum–cognitive correlations ∞-category and topos theory foundations p-adic and non-commutative computational geometry Executable simulation and formal verification (Julia + Lean) The goal is to establish a scientifically testable model of self-referential awareness, where quantum coherence becomes the substrate of conscious information. All source code, proofs, and data are openly available on Zenodo for full reproducibility and peer validation. --- Author: Jesús Pérez Expolio Independent Researcher, Spain jepex59@hotmail.com DOI: https://lnkd.in/dAE3Qyuf #QuantumPhysics #Consciousness #Research #Mathematics #Science #AI #PhilosophyOfMind #OpenScience #QuantumComputing

My new paper, “Machine learning analysis of the ETH–MBL transition via entanglement and imbalance dynamics,” just published in Physica A. In this work, I explore how machine learning techniques can uncover deeper insights into the Eigenstate Thermalization Hypothesis (ETH) and Many-Body Localization (MBL) transition—two fundamental regimes in the study of quantum many-body systems. This research highlights the growing synergy between statistical mechanics, quantum dynamics, and machine learning, opening pathways for more powerful analysis of complex quantum phenomena.