5 citations · 6 across the 5 of their papers we have counts for
6 papers
Developing the Statistical Mechanics of Evolving Assembly Spaces
Anisha K. Yeddanapudi, Abhishek Sharma, Ian Seet +1
A gap exists in connecting biological evolution within the framework of statistical mechanics. It has been hoped that statistical mechanics would provide us with a general predicti…
Enhancing AI Interpretability with Localised Architectures
Ian Seet, Jonas Bozenhard, Simon Ostermann
Recent advances in generative AI, especially powerful Large Language Models (LLMs), raise concerns over the interpretability, safety and sustainability of these large and opaque AI…
Exploring molecular assembly as a biosignature using mass spectrometry and machine learning
Lindsay A. Rutter, Abhishek Sharma, Ian Seet +3
Molecular assembly offers a promising path to detect life beyond Earth, while minimizing assumptions based on terrestrial life. As mass spectrometers will be central to upcoming So…
Quantifying the Complexity of Materials with Assembly Theory
Keith Y Patarroyo, Abhishek Sharma, Ian Seet +3
Quantifying the evolution and complexity of materials is of importance in many areas of science and engineering, where a central open challenge is developing experimental complexit…
Pipelined information flow in molecular mechanical circuits leads to increased error and irreversibility
Ian Seet, Thomas E. Ouldridge, Jonathan P. K. Doye
Pipelining is a design technique for logical circuits that allows for higher throughput than circuits in which multiple computations are fed through the system one after the other.…
Simulation of reversible molecular mechanical logic gates and circuits
Ian Seet, Thomas E. Ouldridge, Jonathan P. K. Doye
Landauer's principle places a fundamental lower limit on the work required to perform a logically irreversible operation. Logically reversible gates provide a way to avoid these wo…