In pursuing O1 we set new standards in our LIED technique, advancing quantum dynamics into unexplored space-time domains of correlated quantum systems. Through extensive experimentation, we demonstrated the ability to image atomic positions within a single molecule using a single attosecond electron wavepacket.
Within O1.1 we successfully imaged neutral molecules with LIED, even under ionization, as documented in publications like Proc. Nat. Acad. Sci. and Rep. Prog. Phys. We also examined how ionization affects bond detection and evaluated the limits of quantum recollision, collaborating with the groups of Dudovich(Weizmann) and Bauer(Rostock). Our work resolved debates over the quantum trajectory contributions to LIED imaging and reduced temporal uncertainty to the attosecond regime. Additionally, we developed a method for extracting molecular structures from LIED data, proving its validity across different molecular systems.
In O1.2 we extended LIED imaging to complex and dynamic molecular systems, employing machine learning to identify the structures of highly complex and chiral molecules.
O2 achieved simultaneous electron and nuclear coordinate measurements. In O2.1 we imaged the H2 molecule during tunneling ionization, tracking the tunnel exit in momentum space and linking it to real space, while also monitoring changes in the nuclear wave packet. This marks the first imaging of a correlated electron-nuclear wavepacket, with a forthcoming publication.
O2 yielded groundbreaking advancements, using attosecond soft-X-ray pulses to extract electronic and nuclear information. This deepened our understanding of XANES and EXAFS, particularly in graphite, solving key questions about electron scattering and its lattice coupling. This research also provided insight into light absorption, electron/hole excitation, and phonon coupling—key steps in polymerization important for the chemical industry.
O3 integrated previous outcomes to tackle quantum phase transitions, where electronic and nuclear couplings challenge current methods. In O3.1 we used LIED to study molecular phase transitions, from simple triatomic species to complex chiral systems, developing new imaging methods using sparsity and machine learning for structure identification.
O3 saw remarkable progress. We employed attosecond X-ray and harmonic spectroscopy to disentangle electronic and structural phase transitions in solids. Highlights include optical imaging of quantum phase transitions in high-Tc superconductors and the first lightwave control of a topological phase transition, leading to valleytronics independent of material properties. This work resulted in a patent application for a novel method in valleytronics in bulk materials(EP23382921.7).
In conclusion, the project exceeded its ambitious goals, achieving significant breakthroughs in quantum dynamics, imaging, and phase transitions, made possible by TRANSFORMER grant.