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- Interdisciplinary Centre for Security, Reliability and TrustLU193 papers
- Centre National de la Recherche ScientifiqueFR133 papers
- Luxembourg Institute of Science and TechnologyLU105 papers
- Donostia International Physics CenterES66 papers
- Forschungszentrum JülichDE37 papers
- Polish Academy of SciencesPL36 papers
- University of CambridgeGB36 papers
- Luxembourg Centre for Systems BiomedicineLU34 papers
- Technische Universität BerlinDE34 papers
- University of OttawaCA34 papers
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- University of LiègeBE30 papers
138 papers · 1 filter
Negative differential response in chemical reactions
Gianmaria Falasco, Tommaso Cossetto, Emanuele Penocchio +1
Reaction currents in chemical networks usually increase when increasing their driving affinities. But far from equilibrium the opposite can also happen. We find that such negative…
Impact of Tool Support in Patch Construction
Anil Koyuncu, Tegawendé F. Bissyandé, Dongsun Kim +3
In this work, we investigate the practice of patch construction in the Linux kernel development, focusing on the differences between three patching processes: (1) patches crafted e…
Giant Direct and Inverse Electrocaloric Effects in Multiferroic Thin Films
Claudio Cazorla, Jorge Iniguez
Refrigeration systems based on compression of greenhouse gases are environmentally threatening and cannot be scaled down to on-chip dimensions. In the vicinity of a phase transitio…
On a -Graded Version of Supersymmetry
Andrew James Bruce
We extend the notion of super-Minkowski space-time to include -graded (Majorana) spinor coordinates. Our choice of the grading leads to spinor coordinates that are…
Revisiting Deniability in Quantum Key Exchange via Covert Communication and Entanglement Distillation
Arash Atashpendar, G. Vamsi Policharla, Peter B. Rønne +1
We revisit the notion of deniability in quantum key exchange (QKE), a topic that remains largely unexplored. In the only work on this subject by Donald Beaver, it is argued that QK…
sGDML: Constructing Accurate and Data Efficient Molecular Force Fields Using Machine Learning
Stefan Chmiela, Huziel E. Sauceda, Igor Poltavsky +2
We present an optimized implementation of the recently proposed symmetric gradient domain machine learning (sGDML) model. The sGDML model is able to faithfully reproduce global pot…