This is a small problem that has swallowed two hours of someone's time, and it represents a much larger friction that slows down real science. The user knows exactly what they need, sloping and plateau capacity at specific voltage thresholds, but the tools they have access to keep them hunting through rows of data by hand. That frustration is not a personal failing; it is a sign that traditional spreadsheet software was not built for the kind of interrogation modern battery data demands.
The core issue is deceptively simple: voltage values are recorded at irregular intervals, so the exact 0.1V or 0.0V point never appears in the dataset. The user needs to capture the nearest data point above that threshold, and they need to do it consistently across ten cycles and multiple batteries. In Excel or OriginPro, this means writing conditional formulas, setting up lookup ranges, and manually verifying each extraction. It is doable, but it is tedious, error-prone, and it pulls attention away from the actual analysis, understanding battery degradation and performance. The user asked an AI for help and still could not get it done. That is not a reflection of their ability; it is a reflection of how poorly conventional spreadsheets handle this kind of conditional, threshold-based query.
What this user needs is a tool that treats data as something to ask questions of, not something to manually navigate. An AI-native spreadsheet would allow them to say: "Find the capacity value at the first voltage reading above 0.1V for each discharge cycle in cycles 0 through 4 and 25 through 29." The tool would parse that request, locate the correct rows, and return the results instantly, no formula debugging, no clicking through columns. The same logic applies to the plateau capacity at 0.0V and the charge thresholds at 0.1V and 2V. The problem is not the data; it is the interface between the user's intent and the tool's ability to execute it.
This is exactly the kind of friction that holds back progress in fields like battery research, where small inefficiencies compound across dozens of cells and hundreds of cycles. The user's request is reasonable, and their frustration is justified. The solution is not to learn more advanced Excel tricks; it is to expect more from the tools we use. The next generation of spreadsheets should understand what we mean when we say "sloping capacity" and "plateau capacity", not because the software is magic, but because the question is common and the logic is straightforward. Until then, researchers will keep spending hours on two-hour problems, and that is time that should be spent on discovery.